About The Job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position:
AI Red-Teamer
Type:
Full-time or Part-time
Compensation:
$54–$111/hour
Location:
Remote-friendly (US time zones); Geography restricted to US, UK, Canada
Role Responsibilities
Red-team AI models and agents to identify jailbreaks, prompt injections, misuse cases, and exploits.
Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks.
Apply structure by following taxonomies, benchmarks, and playbooks to ensure consistent testing.
Document reproducibly to produce reports, datasets, and attack cases that customers can act on.
Flex across projects to support different customers, from LLM jailbreaks to socio-technical abuse testing.
Qualifications
Must-Have
Prior red-teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
Curiosity and adversarial mindset to push systems to breaking points.
Structured approach using frameworks or benchmarks.
Strong communication skills to explain risks to technical and non-technical stakeholders.
Adaptability to thrive on moving across projects and customers.
Preferred
Experience in Adversarial ML:
jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction.
Cybersecurity skills:
penetration testing, exploit development, reverse engineering.
Socio-technical risk expertise: harassment/disinfo probing, abuse analysis.
Creative probing skills:
psychology, acting, writing for unconventional adversarial thinking.
Compensation & Legal
The pay rate for this role may vary by project, customer, and content category.
Compensation will be aligned with the level of expertise required, the sensitivity of the material, and the scope of work for each engagement.
Application Process (Takes 20–30 mins to complete)
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Resources & Support
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